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Stepper: Annotation and Interactive Stepwise Transformation for Knowledge-Rich Documents

  • Conference paper
Engineering Knowledge in the Age of the Semantic Web (EKAW 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3257))

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Abstract

The Stepper system addresses a problem untackled by mainstream semantic annotation tools: extraction of formal content from documents that are unique, authoritative, and rich in ambiguously expressed knowledge. Stepper has been tested on medical guideline documents. It takes care of initial text mark-up as well as of subsequent rule-based transformation of the document across several user-definable levels.

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References

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Author information

Authors and Affiliations

  1. Department of Information and Knowledge Engineering, University of Economics, Prague, W. Churchill Sq. 4, 130 67, Praha 3, Czech Republic

    Marek Růžička & Vojtěch Svátek

Authors
  1. Marek Růžička
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  2. Vojtěch Svátek
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Editor information

Editors and Affiliations

  1. Knowledge Media Institute, The Open University, Milton Keynes, UK

    Enrico Motta

  2. Electronics and Computer Science, University of Southampton, UK

    Nigel R Shadbolt

  3. Knowledge Media Institute, Open University, UK

    Arthur Stutt

  4. University of Southampton, SO17 1BJ, Southampton, UK

    Nick Gibbins

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© 2004 Springer-Verlag Berlin Heidelberg

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Růžička, M., Svátek, V. (2004). Stepper: Annotation and Interactive Stepwise Transformation for Knowledge-Rich Documents. In: Motta, E., Shadbolt, N.R., Stutt, A., Gibbins, N. (eds) Engineering Knowledge in the Age of the Semantic Web. EKAW 2004. Lecture Notes in Computer Science(), vol 3257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30202-5_36

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  • DOI: https://doi.org/10.1007/978-3-540-30202-5_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23340-4

  • Online ISBN: 978-3-540-30202-5

  • eBook Packages: Springer Book Archive

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